Glance at a flexsurv model object

Source: R/broom-funs.R

Glance accepts a model object and returns a tibble with exactly one row of model summaries.

# S3 method for flexsurvreg
glance(x, ...)

Arguments

x

Output from flexsurvreg or flexsurvspline, representing a fitted survival model object.
...

Not currently used.

Value

A one-row tibble containing columns:

  • N Number of observations used in fitting

  • events Number of events

  • censored Number of censored events

  • trisk Total length of time-at-risk (i.e. follow-up)

  • df Degrees of freedom (i.e. number of estimated parameters)

  • logLik Log-likelihood

  • AIC Akaike's "An Information Criteria"

  • BIC Bayesian Information Criteria

Examples

fitg <- flexsurvreg(formula = Surv(futime, fustat) ~ age, data = ovarian, dist = "gengamma")
glance(fitg)

#> # A tibble: 1 × 8
#>       N events censored trisk    df logLik   AIC   BIC
#>   <int>  <int>    <int> <dbl> <int>  <dbl> <dbl> <dbl>
#> 1    26     12       14 15588     4  -89.7  187.  192.